This repository contains the source code for the official website of Eve Count, a Singapore-based venture studio that invests Code, AI, and Architecture into new ventures.

Eve Count specializes in building deep-tech companies with a focus on Quantum technologies (Post-Quantum Cryptography, Quantum Key Distribution) and Artificial Intelligence. We partner with founders to take ideas from vision to a market-ready MVP.

This website serves as our digital headquarters. It's where potential partners can learn about our philosophy, view our portfolio, and submit their ideas.

This project is built with a modern, scalable tech stack:

• Framework: Next.js (with App Router)
• Language: TypeScript
• UI: React, ShadCN UI, and Tailwind CSS
• Backend: Firebase (Firestore for database, Firebase Authentication)
• Generative AI: Genkit for Traceable AI Operations

• Dynamic Content: Pages for About, Ventures, Incubator, Research, and more.
• Clear-Box Command Center: An admin dashboard that provides a transparent, auditable view into our autonomous agent operations. Every decision is logged with its "Birth-Logic" for true Explainable AI (XAI).
• AI Partner Chatbot: An integrated AI chatbot (/src/components/chatbot.tsx) that engages with visitors, captures venture pitches, and saves them directly to Firestore.
• Universal Application Form: A comprehensive form at /apply that handles various inquiry types (Venture Pitches, Incubator Applications, Career Inquiries, and Partnerships).
• Protected Ventures Page: A password-protected section at /ventures to showcase portfolio companies.
• SEO Optimized: Includes dynamic page titles, a sitemap.ts, and robots.ts for improved search engine visibility.

To run the project locally:

1. Install dependencies:

   npm install

2. Run the development server:

   npm run dev

The application will be available at http://localhost:9002.

• src/app: Contains all the pages and layouts for the Next.js App Router.
• src/components: Reusable React components, including UI components from ShadCN and custom layout/section components.
• src/firebase: Firebase configuration, providers, and custom hooks (useCollection, useUser, etc.).
• src/ai: Genkit flows that power our agentic clusters.
• src/lib: Helper functions, data definitions (e.g., ventures.ts), and schemas.
• docs/backend.json: The data blueprint defining the application's entities and Firestore structure, designed for traceable AI operations.
• firestore.rules: Security rules for the Firestore database.

The next evolution is Project BroadcastPeople. This future build will focus on creating a system for synthetic human data designed for agentic augmentation.

The core concept is to bridge the gap between machine logic and human intuition. It involves creating an "incomplete archive" of human expertise which is then augmented by the best-of-class agentic thought processes we are developing. The system will broadcast these fused data points via an API (e.g., api.whatwould.work), providing our agentic systems with a constant stream of common-sense reasoning and nuanced decision-making capabilities.

This represents the next step in our mission: creating not just Autonomous AI, but Wise AI (AGI + Human).